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Translational regulation shapes the molecular landscape of complex disease phenotypes

The extent of translational control of gene expression in mammalian tissues remains largely unknown. Here we perform genome-wide RNA sequencing and ribosome profiling in heart and liver tissues to investigate strain-specific translational regulation in the spontaneously hypertensive rat (SHR/Ola). F...

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Detalles Bibliográficos
Autores principales: Schafer, Sebastian, Adami, Eleonora, Heinig, Matthias, Rodrigues, Katharina E. Costa, Kreuchwig, Franziska, Silhavy, Jan, van Heesch, Sebastiaan, Simaite, Deimante, Rajewsky, Nikolaus, Cuppen, Edwin, Pravenec, Michal, Vingron, Martin, Cook, Stuart A., Hubner, Norbert
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Pub. Group 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4455061/
https://www.ncbi.nlm.nih.gov/pubmed/26007203
http://dx.doi.org/10.1038/ncomms8200
Descripción
Sumario:The extent of translational control of gene expression in mammalian tissues remains largely unknown. Here we perform genome-wide RNA sequencing and ribosome profiling in heart and liver tissues to investigate strain-specific translational regulation in the spontaneously hypertensive rat (SHR/Ola). For the most part, transcriptional variation is equally apparent at the translational level and there is limited evidence of translational buffering. Remarkably, we observe hundreds of strain-specific differences in translation, almost doubling the number of differentially expressed genes. The integration of genetic, transcriptional and translational data sets reveals distinct signatures in 3′UTR variation, RNA-binding protein motifs and miRNA expression associated with translational regulation of gene expression. We show that a large number of genes associated with heart and liver traits in human genome-wide association studies are primarily translationally regulated. Capturing interindividual differences in the translated genome will lead to new insights into the genes and regulatory pathways underlying disease phenotypes.